Master thesis defence
- Friday, 30 August 2019
- HB 13.100
Deep Learning-based identification of human gait by radar micro-Doppler measurementsVasileios Papanastasiuo
The radar micro-Doppler (m-D) signature of human gait has already been used successfully for a few classification tasks of human gait, for instance walking versus running and determining the number of humans under observation. How ever, the more challenging problem of personnel identification has not been solved yet. The aim of this study is to prove that the human walking gait differs between individuals and that it can be used for personnel identification using CW X-band radar measurements. This study investigates the effect of human walking gait characteristics such as speed and stride as well as the gender on leading to distinctive m-D signatures. Both simulated data and measurements of 22 subjects walking from and towards the radar were used. Unsupervised learning based on Adversarial Autoencoders was used to map the m-D signatures to a latent space. TDistributed Stochastic Neighbor Embedding and Uniform Manifold Approximation and Projection were then used for clustering and visualization. This study shows that even very slight changes in the walking gait characteristics mentioned above lead to distinctive m-D signatures mapped into closely located points in the latent space. A VGG-16 convolutional neural network was used to identify the walking subjects based on their measured m-D signature. Accuracy of above 93.5% was achieved, proving that CW X-band radar m-D signature of human walking gait can be used for accurate personnel identification which is reliable for 22 participants.
- Fri, 13 Dec 2019
- Snijderzaal, LB 01.010
MSc ME Thesis Presentation
Flexible Graphene-Based Passive and Active Spinal Cord Implants
- Fri, 17 Jan 2020
- Aula Senaatszaal
PhD Thesis Defence
3D Elements for Phased-Array Systems: Analysis and Design.
Phased arrays for radar and communication systems require supporting frequency and angular selectivity functions to reduce interference and enable more flexible operation. Frequency selective surfaces with large rejection bands and their integration with phased arrays are investigated. Moreover, array of tilted dipole elements are proposed to achieve radiation with asymmetric field of view.